The First Indoor Pathloss Radio Map Prediction Challenge

• URL: http://arxiv.org/abs/2501.13698v1
• Date: Thu, 23 Jan 2025 14:25:14 GMT
• Title: The First Indoor Pathloss Radio Map Prediction Challenge
• Authors: Stefanos Bakirtzis, Çağkan Yapar, Kehai Qiu, Ian Wassell, Jie Zhang,
• Abstract summary: ICASSP 2025 First Indoor Pathloss Radio Map Prediction Challenge. This paper describes the indoor path loss prediction problem, the datasets used, the Challenge tasks, and the evaluation methodology.
• Score: 2.4701432952107645
• License:
• Abstract: To encourage further research and to facilitate fair comparisons in the development of deep learning-based radio propagation models, in the less explored case of directional radio signal emissions in indoor propagation environments, we have launched the ICASSP 2025 First Indoor Pathloss Radio Map Prediction Challenge. This overview paper describes the indoor path loss prediction problem, the datasets used, the Challenge tasks, and the evaluation methodology. Finally, the results of the Challenge and a summary of the submitted methods are presented.

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